Advanced Analytics Analyst
Location
Barcelona | Spain
Job description
Advanced Analytics Analyst
About Sanofi:
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.
Who You Are:
You are a dynamic advanced analytics analyst interested in challenging the status quo on deploying enterprise data products, with AI models and underlying data visualizations for data consumption . You are a valued influencer and a thought leader who is motivated to contribute to an AI focused Digital data organization. You have a keen eye for improvement opportunities and the demonstrated ability to deliver solutions that would enable data visualization, analytics, and data science s . You are inquisitive, motivated , enthusiastic and a self- leader.
Our vision for digital, data analytics and AI:
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:
- AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment
- Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack
- World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets
Job Highlights:
- As a data champion, look to implement analytical models on data sets to uncover insights
- Validate business requirements, defining global standards for data models, key performance indicators and measures, then implementing the global standards within our products for business units and markets
- Create and implement repeatable analytics models
- Tell a story with data, hosting co-creation sessions to ensure needs are well understood and features are well articulated, producing mock-ups as required to quickly iterate on user feedback
- Understand the data landscape that enables the enterprise solutions, with the ability to align on global standards across multiple stakeholder groups
- A critical and analytical thinker, and a creative problem solver who can navigate difficult discussions and ambiguity to arrive at design solutions
- Understand and implement enterprise data governance, data architecture and data management standards
- Collaborate with business stakeholders to understand the business requirements, translating them to data, analytics and AI capabilities
- Partner with Product Owners and Scrum Masters and be able to work in agile pods
- Partner with Data Engineers and Data scientists to create data products
Key Functional Requirements & Qualifications:
- Strong knowledge working within an Agile environment
- Strong knowledge deploying analytical models using software development tools like GitHub
- Interest in healthcare and pharmaceutical data
- E xperience in data visualization and analytics solutions deployment
- Experience in building data pipelines with data quality metrics in place
Key Technical Requirements & Qualifications:
- A university/college degree graduate in disciplines of engineering, computer science, mathematics, data science or related fields
- Strong technical knowledge in building analytical models, using scripting languages like python, and querying languages like SQL
- Knowledge of data discovery tools like Informatica DQ, Axon is preferred
- Knowledge of data platform tools like Snowflake and cloud platforms like AWS
- Strong statistical background
Pursue Progress . Discover Extraordinary .
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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.
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